DS-Training

Training pipeline of projects for people new to data science and machine learning.

Jupyter Notebooks listed use code and data that are open source.

The training pipeline is a compilation of different tutorials and guides pulled from these resources:

Principles of training:

self-guided research.
practical, hands-on Jupyter Notebooks. notebooks are comprised of 'skeleton' code that students have to fill in.
Practitioner mindset. Guides developed with the goal of a becoming a machine learning practitioner. Little to no math is covered.

TO-DO:

add a YouTube video lesson for each Jupyter Notebook. The goal is to turn this training into a repeatable process without much oversight needed.

Name		Name	Last commit message	Last commit date
Latest commit History 78 Commits
datasets		datasets
01_titanic_eda.ipynb		01_titanic_eda.ipynb
02_Data_Preprocessing.ipynb		02_Data_Preprocessing.ipynb
03_Data_Prep_XGBoost.ipynb		03_Data_Prep_XGBoost.ipynb
04_linear_regression.ipynb		04_linear_regression.ipynb
05_logistic_regression.ipynb		05_logistic_regression.ipynb
06_Decision_Trees.ipynb		06_Decision_Trees.ipynb
07_random_forest.ipynb		07_random_forest.ipynb
08_extreme_gradient_boosting.ipynb		08_extreme_gradient_boosting.ipynb
09_Intro_Neural_Networks.ipynb		09_Intro_Neural_Networks.ipynb
10_classifying_movie_reviews.ipynb		10_classifying_movie_reviews.ipynb
11_classifying_newswires.ipynb		11_classifying_newswires.ipynb
12_overfitting_and_underfitting.ipynb		12_overfitting_and_underfitting.ipynb
13_introduction_to_convnets.ipynb		13_introduction_to_convnets.ipynb
14_dog_cat_classifier.ipynb		14_dog_cat_classifier.ipynb
15_face_detection.ipynb		15_face_detection.ipynb
16_Facial_Keypoints_Detection_Keras.ipynb		16_Facial_Keypoints_Detection_Keras.ipynb
17_Working_with_Text.ipynb		17_Working_with_Text.ipynb
18_understanding_recurrent_neural_networks.ipynb		18_understanding_recurrent_neural_networks.ipynb
19_keras_text_generation_lstm.ipynb		19_keras_text_generation_lstm.ipynb
20_advanced_usage_of_recurrent_neural_networks.ipynb		20_advanced_usage_of_recurrent_neural_networks.ipynb
Exploring the Kaggle API.ipynb		Exploring the Kaggle API.ipynb
README.md		README.md

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